Qai Consultant MCP server

by gvasile29·io.github.gvasile29/qai-consultant-mcp·v3.9.3·6 stars

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Keyless local MCP server for QA: standards retrieval, effort estimation, doc review, test analysis.

A92/100grade A

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A92/100

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Adoption

Growing

6 stars46 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Qai Consultant tools

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How Qai Consultant compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 92/100; higher than 95% of 48,255 servers
GitHub stars: 6; more than 85% of 28,688 servers
Downloads a week: 46; more than 38% of 12,191 servers with a package

Release history: 7 versions in the registry since 2026-09-15, latest 2026-10-23, typically one every 8 days.

Install Qai Consultant in Claude Code, Cursor or VS Code

claude mcp add qai-consultant-mcp -- uvx qai-consultant-mcp

Add to Cursor

What the publisher says

From the Qai Consultant repository's README, as published. We do not edit it. Read it on GitHub

QAI Consultant

An open-source AI agent that acts as a senior QA Architect — automatically generating a Test Strategy, Risk Register, Effort Estimation Report, and Test Plan from a simple project description, plus deterministic QA Document Quality Review and Test Results Analysis for evaluating what already exists. Also available as an MCP server so Claude Code, Claude Desktop, and claude.ai can ground their own QA work in the same standards and numbers.

🌐 Live demo: quality-ai-consultant.streamlit.app

🔌 New: QAI Consultant is now also an MCP server — uvx qai-consultant-mcp. No API keys, no Pinecone. See MCP Server below or the package on PyPI.

🤖 Built with Claude Code by Anthropic.

Screenshots

Web UI (Streamlit)

CLI

Quick Start

Option A — Use the live app (no setup)

👉 quality-ai-consultant.streamlit.app

Option B — Run locally

# 1. Clone and install
git clone https://github.com/gvasile29/qai-consultant.git
cd qai-consultant
pip install -r requirements.txt

# 2. Set up API keys
cp .env.example .env
# Edit .env and fill in the 4 keys (see Prerequisites below)

# 3. Build the knowledge base (one-time, pushes to Pinecone)
python src/ingest.py

# 4. Run
python src/cli.py            # Terminal UI
streamlit run src/app.py     # Web UI → http://localhost:8501

📖 Full installation guide: INSTALL.md

The Problem

Creating a Test Strategy from scratch is time-consuming and requires deep QA expertise. Most teams either skip it, do it superficially, or spend days researching methodologies.

QAI Consultant eliminates this bottleneck by combining established QA methodologies, industry standards (ISTQB, OWASP, ISO 26262, A-SPICE), and expert knowledge into an AI agent that thinks like a seasoned QA Architect.

Who Is This For?

QA Engineers who need structured guidance on test strategy
Engineering Managers who need effort estimations and resource planning
Development teams without a dedicated QA Architect
QA Consultants who want to accelerate their delivery

What QAI Consultant Generates

From a single 11-question dialogue, QAI Consultant automatically generates four documents:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Qai Consultant: common questions

Is Qai Consultant MCP server safe?: Yes, by our scan: it is graded A (92/100). Read the Qai Consultant safety report
How do I install Qai Consultant?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Qai Consultant need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Qai Consultant maintained?: The last commit was 33 days ago (2026-10-02). The latest release is v3.9.3.
How does Qai Consultant compare with other MCP servers?: safety score 92/100 (higher than 95% of 48,255 servers); github stars 6 (more than 85% of 28,688 servers); downloads a week 46 (more than 38% of 12,191 servers with a package). Full comparison.